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Saatvik Ramisetty's Projects

awesome-datascience icon awesome-datascience

:memo: An awesome Data Science repository to learn and apply for real world problems.

bay-area-bike-share-analysis icon bay-area-bike-share-analysis

Bay Area Bike Share is a company that provides on-demand bike rentals for customers in San Francisco, Redwood City, Palo Alto, Mountain View, and San Jose. Users can unlock bikes from a variety of stations throughout each city, and return them to any station within the same city. Users pay for the service either through a yearly subscription or by purchasing 3-day or 24-hour passes. Users can make an unlimited number of trips, with trips under thirty minutes in length having no additional charge; longer trips will incur overtime fees. In this project, you will put yourself in the shoes of a data analyst performing an exploratory analysis on the data. You will take a look at two of the major parts of the data analysis process: data wrangling and exploratory data analysis. But before you even start looking at data, think about some questions you might want to understand about the bike share data. Consider, for example, if you were working for Bay Area Bike Share: what kinds of information would you want to know about in order to make smarter business decisions? Or you might think about if you were a user of the bike share service. What factors might influence how you would want to use the service?

capstone-project-board-games-analysis icon capstone-project-board-games-analysis

My Springboard Capstone Project -1. In this project, I analyze board game ratings and descriptions to gather insights and create a recommender engine using features of a board game.

freeml icon freeml

Data Science Resources (Mostly Free)

machine-learning-course-project-njit icon machine-learning-course-project-njit

This is a simulated dataset of single nucleotide polymorphism (SNP) genotype data containing 29623 SNPs (total features). Amongst all SNPs are 15 causal ones which means they and neighboring ones discriminate between case and controls while remainder are noise. In the training are 4000 cases and 4000 controls. Your task is to predict the labels of 2000 test individuals whose true labels are known only to the instructor and TA.

predictionio icon predictionio

PredictionIO, a machine learning server for software developers and data engineers.

resume icon resume

Software developer resume in Latex

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